The Automated Screening Working Groups is a group of software engineers and biologists passionate about improving scientific manuscripts on a large scale. Our members have created tools that check for common problems in scientific manuscripts, including information needed to improve transparency and reproducibility. We have combined our tools into a single pipeline, called ScreenIT. We're currently using our tools to screen COVID preprints.

About Followers

Latest preprint reviews

  1. COVID-19 Time of Intubation Mortality Evaluation (C-TIME): A system for predicting mortality of patients with COVID-19 pneumonia at the time they require mechanical ventilation

    1. Robert A. Raschke
    2. Pooja Rangan
    3. Sumit Agarwal
    4. Suresh Uppalapu
    5. Nehan Sher
    6. Steven C. Curry
    7. C. William Heise

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Prevalence and determinants of persistent symptoms after infection with SARS-CoV-2: protocol for an observational cohort study (LongCOVID-study)

    1. Elizabeth N Mutubuki
    2. Tessa van der Maaden
    3. Ka Yin Leung
    4. Albert Wong
    5. Anna D Tulen
    6. Siméon de Bruijn
    7. Lotte Haverman
    8. Hans Knoop
    9. Eelco Franz
    10. Albert Jan van Hoek
    11. Cees C van den Wijngaard

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Analytic sensitivity of the Abbott BinaxNOW™ lateral flow immunochromatographic assay for the SARS-CoV-2 Omicron variant

    1. Sanjat Kanjilal
    2. Sujata Chalise
    3. Adnan Shami Shah
    4. Chi-An Cheng
    5. Yasmeen Senussi
    6. Michael Springer
    7. David R. Walt

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Hydroxychloroquine/chloroquine for the treatment of hospitalized patients with COVID-19: An individual participant data meta-analysis

    1. Leon Di Stefano
    2. Elizabeth L. Ogburn
    3. Malathi Ram
    4. Daniel O. Scharfstein
    5. Tianjing Li
    6. Preeti Khanal
    7. Sheriza N. Baksh
    8. Nichol McBee
    9. Joshua Gruber
    10. Marianne R. Gildea
    11. Megan R. Clark
    12. Neil A. Goldenberg
    13. Yussef Bennani
    14. Samuel M. Brown
    15. Whitney R. Buckel
    16. Meredith E. Clement
    17. Mark J. Mulligan
    18. Jane A. O’Halloran
    19. Adriana M. Rauseo
    20. Wesley H. Self
    21. Matthew W. Semler
    22. Todd Seto
    23. Jason E. Stout
    24. Robert J. Ulrich
    25. Jennifer Victory
    26. Barbara E. Bierer
    27. Daniel F. Hanley
    28. Daniel Freilich
    29. on behalf of the Pandemic Response COVID-19 Research Collaboration Platform for HCQ/CQ Pooled Analyses

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Does Increased Physical Activity Explain the Psychosocial Benefits of Sport Participation During COVID-19?

    1. Andrew M. Watson
    2. Kevin M. Biese
    3. Claudia L. Reardon
    4. Allison Schwarz
    5. Kristin Haraldsdottir
    6. Alison Brooks
    7. David Robert Bell
    8. Quinn Steiner
    9. Timothy A. McGuine

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Two viruses competition in the SIR model of epidemic spread: application to COVID-19

    1. A.M. Ignatov
    2. S.A. Trigger

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Fusogenicity and neutralization sensitivity of the SARS-CoV-2 Delta sublineage AY.4.2

    1. Nell Saunders
    2. Delphine Planas
    3. William H. Bolland
    4. Christophe Rodriguez
    5. Slim Fourati
    6. Julian Buchrieser
    7. Cyril Planchais
    8. Matthieu Prot
    9. Isabelle Staropoli
    10. Florence Guivel-Benhassine
    11. Françoise Porrot
    12. David Veyer
    13. Hélène Péré
    14. Nicolas Robillard
    15. Madelina Saliba
    16. Artem Baidaliuk
    17. Aymeric Seve
    18. Laurent Hocqueloux
    19. Thierry Prazuck
    20. Felix A. Rey
    21. Hugo Mouquet
    22. Etienne Simon-Lorière
    23. Timothée Bruel
    24. Jean-Michel Pawlotsky
    25. Olivier Schwartz

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Putative host-derived insertions in the genomes of circulating SARS-CoV-2 variants

    1. Yiyan Yang
    2. Keith Dufault-Thompson
    3. Rafaela Salgado Fontenele
    4. Xiaofang Jiang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Systematic comparison of ranking aggregation methods for gene lists in experimental results

    1. Bo Wang
    2. Andy Law
    3. Tim Regan
    4. Nicholas Parkinson
    5. Joby Cole
    6. Clark D Russell
    7. David H Dockrell
    8. Michael U Gutmann
    9. J Kenneth Baillie

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Evaluation of an optimized protocol and Illumina ARTIC V4 primer pool for sequencing of SARS-CoV-2 using COVIDSeq™ and DRAGEN™ COVID Lineage App workflow

    1. Cyndi R. Clark
    2. Matthew T. Hardison
    3. Holly N. Houdeshell
    4. Alec C. Vest
    5. Darcy A. Whitlock
    6. Dylan D. Skola
    7. Jeffrey S. Koble
    8. Michael Oberholzer
    9. Gary P. Schroth

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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